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Sebastian Ziegelmayer

Showing results (1-10 of 49) with videos related to

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Cancers|April 12, 2022
Cost-Effectiveness of Artificial Intelligence Support in Computed Tomography-Based Lung Cancer ScreeningSebastian Ziegelmayer, Markus Graf, Marcus Makowski, et al.
Investigative Radiology|January 24, 2024
Evaluating Treatment Response in GEJ Adenocarcinoma: The Role of Pretherapeutic and Posttherapeutic Iodine MappingMarkus Graf, Joshua Gawlitza, Marcus Makowski, et al.
Investigative Radiology|September 15, 2021
Feature Robustness and Diagnostic Capabilities of Convolutional Neural Networks Against Radiomics Features in Computed Tomography ImagingSebastian Ziegelmayer, Stefan Reischl, Felix Harder, et al.
Thrombosis Research|July 8, 2021
Beyond the d-dimer - Machine-learning assisted pre-test probability evaluation in patients with suspected pulmonary embolism and elevated d-dimersJoshua Gawlitza, Sebastian Ziegelmayer, Heinrike Wilkens, et al.
Journal of Clinical Medicine|December 16, 2020
Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC) versus Autoimmune Pancreatitis (AIP)Sebastian Ziegelmayer, Georgios Kaissis, Felix Harder, et al.
Bioengineering (Basel, Switzerland)|April 27, 2024
Comparison of Virtual Non-Contrast and True Non-Contrast CT Images Obtained by Dual-Layer Spectral CT in COPD PatientsManuel Steinhardt, Alexander W Marka, Sebastian Ziegelmayer, et al.
Plos One|August 19, 2021
Efficient, high-performance semantic segmentation using multi-scale feature extractionMoritz Knolle, Georgios Kaissis, Friederike Jungmann, et al.
European Journal of Radiology|November 20, 2024
Multilingual feasibility of GPT-4o for automated Voice-to-Text CT and MRI report transcriptionFelix Busch, Philipp Prucker, Alexander Komenda, et al.
The International Journal of Cardiovascular Imaging|December 24, 2023
Machine learning assisted feature identification and prediction of hemodynamic endpoints using computed tomography in patients with CTEPHJoshua Gawlitza, Sophie Endres, Peter Fries, et al.
The International Journal of Cardiovascular Imaging|February 29, 2024
Spectral computed tomography angiography using a gadolinium-based contrast agent for imaging of pathologies of the aortaMarkus Graf, Felix G Gassert, Alexander W Marka, et al.
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Cancers|April 12, 2022
Cost-Effectiveness of Artificial Intelligence Support in Computed Tomography-Based Lung Cancer ScreeningSebastian Ziegelmayer, Markus Graf, Marcus Makowski, et al.
Investigative Radiology|January 24, 2024
Evaluating Treatment Response in GEJ Adenocarcinoma: The Role of Pretherapeutic and Posttherapeutic Iodine MappingMarkus Graf, Joshua Gawlitza, Marcus Makowski, et al.
Investigative Radiology|September 15, 2021
Feature Robustness and Diagnostic Capabilities of Convolutional Neural Networks Against Radiomics Features in Computed Tomography ImagingSebastian Ziegelmayer, Stefan Reischl, Felix Harder, et al.
Thrombosis Research|July 8, 2021
Beyond the d-dimer - Machine-learning assisted pre-test probability evaluation in patients with suspected pulmonary embolism and elevated d-dimersJoshua Gawlitza, Sebastian Ziegelmayer, Heinrike Wilkens, et al.
Journal of Clinical Medicine|December 16, 2020
Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC) versus Autoimmune Pancreatitis (AIP)Sebastian Ziegelmayer, Georgios Kaissis, Felix Harder, et al.
Bioengineering (Basel, Switzerland)|April 27, 2024
Comparison of Virtual Non-Contrast and True Non-Contrast CT Images Obtained by Dual-Layer Spectral CT in COPD PatientsManuel Steinhardt, Alexander W Marka, Sebastian Ziegelmayer, et al.
Plos One|August 19, 2021
Efficient, high-performance semantic segmentation using multi-scale feature extractionMoritz Knolle, Georgios Kaissis, Friederike Jungmann, et al.
European Journal of Radiology|November 20, 2024
Multilingual feasibility of GPT-4o for automated Voice-to-Text CT and MRI report transcriptionFelix Busch, Philipp Prucker, Alexander Komenda, et al.
The International Journal of Cardiovascular Imaging|December 24, 2023
Machine learning assisted feature identification and prediction of hemodynamic endpoints using computed tomography in patients with CTEPHJoshua Gawlitza, Sophie Endres, Peter Fries, et al.
The International Journal of Cardiovascular Imaging|February 29, 2024
Spectral computed tomography angiography using a gadolinium-based contrast agent for imaging of pathologies of the aortaMarkus Graf, Felix G Gassert, Alexander W Marka, et al.
Pageof 5